{"title":"应用机器学习技术和地貌特征进行城市暴雨预测","authors":"Pin-Chun Huang","doi":"10.1080/02626667.2024.2339923","DOIUrl":null,"url":null,"abstract":"The Storm Water Management Model (SWMM) is a reliable software for simulating stormwater runoff in combined drainage facilities. However, it faces challenges in efficiency, especially when executin...","PeriodicalId":13036,"journal":{"name":"Hydrological Sciences Journal","volume":"37 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Urban storm water prediction by applying machine learning techniques and geomorphological characteristics\",\"authors\":\"Pin-Chun Huang\",\"doi\":\"10.1080/02626667.2024.2339923\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Storm Water Management Model (SWMM) is a reliable software for simulating stormwater runoff in combined drainage facilities. However, it faces challenges in efficiency, especially when executin...\",\"PeriodicalId\":13036,\"journal\":{\"name\":\"Hydrological Sciences Journal\",\"volume\":\"37 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hydrological Sciences Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/02626667.2024.2339923\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hydrological Sciences Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/02626667.2024.2339923","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Urban storm water prediction by applying machine learning techniques and geomorphological characteristics
The Storm Water Management Model (SWMM) is a reliable software for simulating stormwater runoff in combined drainage facilities. However, it faces challenges in efficiency, especially when executin...
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
